2006 Census of Canada - Selected Characteristics for Housing - Vancouver, Toronto CMAs at the Census Tract (CT) Level [custom tabulation] 004
Bibliographic record
Abstract
This dataset includes two tables which were custom ordered from Statistics Canada. One table includes variables on housing characteristics (condominium status, total number of bedrooms, structural type and tenure), and households (household size, household type, age of primary household maintainer). One table includes information on shelter cost to income ratio and total shelter cost by tenure, household type, and household income. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada TABLE 3 includes the following dimensions and variables: Geography: Toronto CMA & Vancouver CMA to the census tract level Age of Household maintainer: Age groups are divided into 9 year intervals starting at age 15 and ending at category 75 and above Condominium status: Condominium, not a condominium Tenure: Owner, renter Household size: From one person up to 5 or more persons Structural type: -Single detached house -Apartment with 5 or more stories -Other dwelling -Semi-detached house -Row house -Apartment, detached duplex -Apartment, building with fewer than 5 stories -Other single attached house -Movable dwelling Total number of bedrooms: From no bedrooms to 4 or more bedrooms Household type: -Census-family households -With children -Without children -Multiple census-family households -Non-census family household TABLE 4 includes the following dimensions and variables: Geography: Toronto CMA, Vancouver CMA Total Shelter cost: under $500 to over $3000 in intervals ranging from $250 to $500 Tenure: Owner (with and without mortgage), renter Household type: -Census-family households -One-family households -Couple family households -With children -Without children -Lone-parent households -Multiple census-family households -Non-census-family households -One person households -Two person households Shelter cost to income ratio: less than 15%, 15-30%, 30-50%, 50% or more, not applicable Household income: in intervals of 10,000 up to the category of $100,000 or more Original file name: EO2969 - Table 3 Tenure and dwelling_Toronto and Vancouver 2006.ivt EO2969 - Table 4 (Part 1) Cost income household_Toronto and Vancouver_2006.ivt
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.018 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.025 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".